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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Hermes-2-Pro-Llama-3-8B --quantization q0f16 --conv-template llama-3 --output /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC
[2024-06-04 03:23:40] INFO auto_config.py:116: Found model configuration: /models/Hermes-2-Pro-Llama-3-8B/config.json
[2024-06-04 03:23:40] INFO auto_config.py:154: Found model type: llama. Use `--model-type` to override.
[2024-06-04 03:23:40] INFO llama_model.py:52: context_window_size not found in config.json. Falling back to max_position_embeddings (8192)
[2024-06-04 03:23:40] INFO llama_model.py:72: prefill_chunk_size defaults to 2048
[2024-06-04 03:23:40] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-04 03:23:40] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 128000
[2024-06-04 03:23:40] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: 128003
[2024-06-04 03:23:40] INFO gen_config.py:157: Not found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer.model
[2024-06-04 03:23:40] INFO gen_config.py:155: Found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC/tokenizer.json
[2024-06-04 03:23:40] INFO gen_config.py:157: Not found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/vocab.json
[2024-06-04 03:23:40] INFO gen_config.py:157: Not found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/merges.txt
[2024-06-04 03:23:40] INFO gen_config.py:157: Not found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/added_tokens.json
[2024-06-04 03:23:40] INFO gen_config.py:155: Found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC/tokenizer_config.json
[2024-06-04 03:23:40] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
[2024-06-04 03:23:40] INFO gen_config.py:32: [System default] Setting pad_token_id: 0
[2024-06-04 03:23:40] INFO gen_config.py:32: [System default] Setting temperature: 1.0
[2024-06-04 03:23:40] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-04 03:23:40] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-04 03:23:40] INFO gen_config.py:32: [System default] Setting repetition_penalty: 1.0
[2024-06-04 03:23:40] INFO gen_config.py:32: [System default] Setting top_p: 1.0
[2024-06-04 03:23:40] INFO gen_config.py:32: [System default] Setting mean_gen_len: 128
[2024-06-04 03:23:40] INFO gen_config.py:32: [System default] Setting max_gen_len: 512
[2024-06-04 03:23:40] INFO gen_config.py:32: [System default] Setting shift_fill_factor: 0.3
[2024-06-04 03:23:40] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC/mlc-chat-config.json
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Hermes-2-Pro-Llama-3-8B --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC
[2024-06-04 03:23:41] INFO auto_config.py:116: Found model configuration: /models/Hermes-2-Pro-Llama-3-8B/config.json
[2024-06-04 03:23:43] INFO auto_device.py:79: Found device: cuda:0
[2024-06-04 03:23:44] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-04 03:23:45] INFO auto_device.py:88: Not found device: metal:0
[2024-06-04 03:23:47] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-04 03:23:47] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-04 03:23:47] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-04 03:23:47] INFO auto_device.py:79: Found device: vulkan:3
[2024-06-04 03:23:48] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-04 03:23:48] INFO auto_device.py:35: Using device: cuda:0
[2024-06-04 03:23:48] INFO auto_weight.py:71: Finding weights in: /models/Hermes-2-Pro-Llama-3-8B
[2024-06-04 03:23:48] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-04 03:23:48] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json
[2024-06-04 03:23:48] INFO auto_weight.py:107: Using source weight configuration: /models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json. Use `--source` to override.
[2024-06-04 03:23:48] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-04 03:23:48] INFO auto_config.py:154: Found model type: llama. Use `--model-type` to override.
[2024-06-04 03:23:48] INFO llama_model.py:52: context_window_size not found in config.json. Falling back to max_position_embeddings (8192)
[2024-06-04 03:23:48] INFO llama_model.py:72: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
  --config          /models/Hermes-2-Pro-Llama-3-8B/config.json
  --quantization    NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
  --model-type      llama
  --device          cuda:0
  --source          /models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json
  --source-format   huggingface-safetensor
  --output          /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC

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[2024-06-04 03:24:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.input_layernorm.weight", shape: (4096,), dtype: float16

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[2024-06-04 03:24:30] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.post_attention_layernorm.weight", shape: (4096,), dtype: float16

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[2024-06-04 03:24:31] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.input_layernorm.weight", shape: (4096,), dtype: float16

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[2024-06-04 03:24:34] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.post_attention_layernorm.weight", shape: (4096,), dtype: float16

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[2024-06-04 03:24:34] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

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[2024-06-04 03:24:38] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Hermes-2-Pro-Llama-3-8B/model-00003-of-00004.safetensors

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[2024-06-04 03:24:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

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 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 141/195 [00:55<00:23,  2.25it/s]
                                                 
[2024-06-04 03:24:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 141/195 [00:55<00:23,  2.25it/s]
                                                 
[2024-06-04 03:24:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

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 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 143/195 [00:55<00:16,  3.18it/s]
                                                 
[2024-06-04 03:24:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 143/195 [00:55<00:16,  3.18it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 144/195 [00:55<00:13,  3.69it/s]
                                                 
[2024-06-04 03:24:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.input_layernorm.weight", shape: (4096,), dtype: float16

 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 144/195 [00:55<00:13,  3.69it/s]
                                                 
[2024-06-04 03:24:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

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 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 146/195 [00:55<00:11,  4.24it/s]
                                                 
[2024-06-04 03:24:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 146/195 [00:56<00:11,  4.24it/s]
 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 147/195 [00:56<00:21,  2.25it/s]
                                                 
[2024-06-04 03:24:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 147/195 [00:56<00:21,  2.25it/s]
                                                 
[2024-06-04 03:24:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 147/195 [00:57<00:21,  2.25it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 149/195 [00:57<00:14,  3.20it/s]
                                                 
[2024-06-04 03:24:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 149/195 [00:57<00:14,  3.20it/s]
 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 150/195 [00:57<00:12,  3.72it/s]
                                                 
[2024-06-04 03:24:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.input_layernorm.weight", shape: (4096,), dtype: float16

 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 150/195 [00:57<00:12,  3.72it/s]
                                                 
[2024-06-04 03:24:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 150/195 [00:57<00:12,  3.72it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 152/195 [00:57<00:10,  4.29it/s]
                                                 
[2024-06-04 03:24:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 152/195 [00:57<00:10,  4.29it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 153/195 [00:58<00:16,  2.57it/s]
                                                 
[2024-06-04 03:24:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 153/195 [00:58<00:16,  2.57it/s]
                                                 
[2024-06-04 03:24:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 153/195 [00:58<00:16,  2.57it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 155/195 [00:58<00:11,  3.63it/s]
                                                 
[2024-06-04 03:24:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 155/195 [00:58<00:11,  3.63it/s]
 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 156/195 [00:58<00:09,  4.18it/s]
                                                 
[2024-06-04 03:24:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.input_layernorm.weight", shape: (4096,), dtype: float16

 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 156/195 [00:58<00:09,  4.18it/s]
                                                 
[2024-06-04 03:24:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 156/195 [00:58<00:09,  4.18it/s]
 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 158/195 [00:59<00:07,  4.71it/s]
                                                 
[2024-06-04 03:24:50] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 158/195 [01:00<00:07,  4.71it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/195 [01:00<00:17,  2.07it/s]
                                                 
[2024-06-04 03:24:51] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/195 [01:00<00:17,  2.07it/s]
                                                 
[2024-06-04 03:24:51] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/195 [01:00<00:17,  2.07it/s]
 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/195 [01:00<00:11,  2.98it/s]
                                                 
[2024-06-04 03:24:51] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/195 [01:00<00:11,  2.98it/s]
 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 162/195 [01:00<00:09,  3.49it/s]
                                                 
[2024-06-04 03:24:51] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.input_layernorm.weight", shape: (4096,), dtype: float16

 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 162/195 [01:00<00:09,  3.49it/s]
                                                 
[2024-06-04 03:24:51] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 162/195 [01:01<00:09,  3.49it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/195 [01:01<00:07,  4.09it/s]
                                                 
[2024-06-04 03:24:52] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/195 [01:01<00:07,  4.09it/s]
 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/195 [01:02<00:11,  2.70it/s]
                                                 
[2024-06-04 03:24:53] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/195 [01:02<00:11,  2.70it/s]
                                                 
[2024-06-04 03:24:53] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/195 [01:02<00:11,  2.70it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/195 [01:02<00:07,  3.78it/s]
                                                 
[2024-06-04 03:24:53] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/195 [01:02<00:07,  3.78it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/195 [01:02<00:06,  4.34it/s]
                                                 
[2024-06-04 03:24:53] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.input_layernorm.weight", shape: (4096,), dtype: float16

 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/195 [01:02<00:06,  4.34it/s]
                                                 
[2024-06-04 03:24:53] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/195 [01:02<00:06,  4.34it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 170/195 [01:02<00:05,  4.78it/s]
                                                 
[2024-06-04 03:24:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 170/195 [01:03<00:05,  4.78it/s]
 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 171/195 [01:03<00:09,  2.58it/s]
                                                 
[2024-06-04 03:24:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 171/195 [01:03<00:09,  2.58it/s]
                                                 
[2024-06-04 03:24:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 171/195 [01:03<00:09,  2.58it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 173/195 [01:04<00:06,  3.65it/s]
                                                 
[2024-06-04 03:24:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 173/195 [01:04<00:06,  3.65it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/195 [01:04<00:04,  4.21it/s]
                                                 
[2024-06-04 03:24:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.input_layernorm.weight", shape: (4096,), dtype: float16

 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/195 [01:04<00:04,  4.21it/s]
                                                 
[2024-06-04 03:24:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/195 [01:04<00:04,  4.21it/s]
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/195 [01:04<00:04,  4.69it/s]
                                                 
[2024-06-04 03:24:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/195 [01:04<00:04,  4.69it/s]
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 177/195 [01:05<00:05,  3.14it/s]
                                                 
[2024-06-04 03:24:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 177/195 [01:05<00:05,  3.14it/s]
                                                 
[2024-06-04 03:24:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 177/195 [01:05<00:05,  3.14it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 179/195 [01:05<00:03,  4.35it/s]
                                                 
[2024-06-04 03:24:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 179/195 [01:05<00:03,  4.35it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 180/195 [01:05<00:03,  4.94it/s]
                                                 
[2024-06-04 03:24:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.input_layernorm.weight", shape: (4096,), dtype: float16

 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 180/195 [01:05<00:03,  4.94it/s]
                                                 
[2024-06-04 03:24:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 180/195 [01:05<00:03,  4.94it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 182/195 [01:05<00:02,  5.33it/s]
                                                 
[2024-06-04 03:24:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 182/195 [01:05<00:02,  5.33it/s]
 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 183/195 [01:06<00:03,  3.20it/s]
                                                 
[2024-06-04 03:24:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 183/195 [01:06<00:03,  3.20it/s]
                                                 
[2024-06-04 03:24:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 183/195 [01:06<00:03,  3.20it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 185/195 [01:06<00:02,  4.41it/s]
                                                 
[2024-06-04 03:24:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 185/195 [01:06<00:02,  4.41it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 186/195 [01:06<00:01,  5.00it/s]
                                                 
[2024-06-04 03:24:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.30.input_layernorm.weight", shape: (4096,), dtype: float16

 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 186/195 [01:06<00:01,  5.00it/s]
                                                 
[2024-06-04 03:24:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.30.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 186/195 [01:06<00:01,  5.00it/s]
 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 188/195 [01:07<00:01,  5.38it/s]
                                                 
[2024-06-04 03:24:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.30.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

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[2024-06-04 03:25:00] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00002-of-00004.safetensors
[2024-06-04 03:25:01] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00003-of-00004.safetensors
[2024-06-04 03:25:01] INFO stats.py:77: Time usage: HF loading: 1.232 sec; Pre-quantization mapping: 19.674 sec; Quantization: 0.000 sec
[2024-06-04 03:25:01] INFO stats.py:91: RAM usage: Peak RAM: 9.235 GB. Total bytes loaded from disk: 14.958 GB
[2024-06-04 03:25:01] INFO convert_weight.py:155: Parameter size after quantization: 14.958 GB
[2024-06-04 03:25:01] INFO convert_weight.py:160: Total parameters: 8,030,523,392
[2024-06-04 03:25:01] INFO convert_weight.py:161: Bits per parameter: 16.000
[2024-06-04 03:25:01] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC

All finished, 131 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC/ndarray-cache.json
/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Hermes-2-Pro-Llama-3-8B --quantization q0f16 --conv-template hermes2_pro_llama3 --output /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC
[2024-06-06 23:19:12] INFO auto_config.py:116: Found model configuration: /models/Hermes-2-Pro-Llama-3-8B/config.json
[2024-06-06 23:19:12] INFO auto_config.py:154: Found model type: llama. Use `--model-type` to override.
[2024-06-06 23:19:12] INFO llama_model.py:52: context_window_size not found in config.json. Falling back to max_position_embeddings (8192)
[2024-06-06 23:19:12] INFO llama_model.py:72: prefill_chunk_size defaults to 2048
[2024-06-06 23:19:12] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-06 23:19:12] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 128000
[2024-06-06 23:19:12] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: 128003
[2024-06-06 23:19:12] INFO gen_config.py:157: Not found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer.model
[2024-06-06 23:19:12] INFO gen_config.py:155: Found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC/tokenizer.json
[2024-06-06 23:19:12] INFO gen_config.py:157: Not found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/vocab.json
[2024-06-06 23:19:12] INFO gen_config.py:157: Not found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/merges.txt
[2024-06-06 23:19:12] INFO gen_config.py:157: Not found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/added_tokens.json
[2024-06-06 23:19:12] INFO gen_config.py:155: Found tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC/tokenizer_config.json
[2024-06-06 23:19:12] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
[2024-06-06 23:19:12] INFO gen_config.py:32: [System default] Setting pad_token_id: 0
[2024-06-06 23:19:12] INFO gen_config.py:32: [System default] Setting temperature: 1.0
[2024-06-06 23:19:12] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-06 23:19:12] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-06 23:19:12] INFO gen_config.py:32: [System default] Setting repetition_penalty: 1.0
[2024-06-06 23:19:12] INFO gen_config.py:32: [System default] Setting top_p: 1.0
[2024-06-06 23:19:12] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC/mlc-chat-config.json
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Hermes-2-Pro-Llama-3-8B --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC
[2024-06-06 23:19:14] INFO auto_config.py:116: Found model configuration: /models/Hermes-2-Pro-Llama-3-8B/config.json
[2024-06-06 23:19:15] INFO auto_device.py:79: Found device: cuda:0
[2024-06-06 23:19:17] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-06 23:19:18] INFO auto_device.py:88: Not found device: metal:0
[2024-06-06 23:19:20] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-06 23:19:20] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-06 23:19:20] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-06 23:19:20] INFO auto_device.py:79: Found device: vulkan:3
[2024-06-06 23:19:21] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-06 23:19:21] INFO auto_device.py:35: Using device: cuda:0
[2024-06-06 23:19:21] INFO auto_weight.py:71: Finding weights in: /models/Hermes-2-Pro-Llama-3-8B
[2024-06-06 23:19:21] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-06 23:19:21] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json
[2024-06-06 23:19:21] INFO auto_weight.py:107: Using source weight configuration: /models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json. Use `--source` to override.
[2024-06-06 23:19:21] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-06 23:19:21] INFO auto_config.py:154: Found model type: llama. Use `--model-type` to override.
[2024-06-06 23:19:21] INFO llama_model.py:52: context_window_size not found in config.json. Falling back to max_position_embeddings (8192)
[2024-06-06 23:19:21] INFO llama_model.py:72: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
  --config          /models/Hermes-2-Pro-Llama-3-8B/config.json
  --quantization    NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
  --model-type      llama
  --device          cuda:0
  --source          /models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json
  --source-format   huggingface-safetensor
  --output          /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC

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[2024-06-06 23:20:19] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

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[2024-06-06 23:20:31] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Hermes-2-Pro-Llama-3-8B/model-00003-of-00004.safetensors

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[2024-06-06 23:20:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 143/195 [01:19<00:24,  2.10it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 144/195 [01:19<00:21,  2.41it/s]
                                                 
[2024-06-06 23:20:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.input_layernorm.weight", shape: (4096,), dtype: float16

 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 144/195 [01:19<00:21,  2.41it/s]
                                                 
[2024-06-06 23:20:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 144/195 [01:19<00:21,  2.41it/s]
 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 146/195 [01:20<00:17,  2.73it/s]
                                                 
[2024-06-06 23:20:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 146/195 [01:20<00:17,  2.73it/s]
 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 147/195 [01:22<00:34,  1.37it/s]
                                                 
[2024-06-06 23:20:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 147/195 [01:22<00:34,  1.37it/s]
                                                 
[2024-06-06 23:20:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 147/195 [01:22<00:34,  1.37it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 149/195 [01:22<00:23,  1.96it/s]
                                                 
[2024-06-06 23:20:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 149/195 [01:22<00:23,  1.96it/s]
 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 150/195 [01:22<00:19,  2.28it/s]
                                                 
[2024-06-06 23:20:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.input_layernorm.weight", shape: (4096,), dtype: float16

 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 150/195 [01:22<00:19,  2.28it/s]
                                                 
[2024-06-06 23:20:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 150/195 [01:22<00:19,  2.28it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 152/195 [01:23<00:16,  2.59it/s]
                                                 
[2024-06-06 23:20:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 152/195 [01:23<00:16,  2.59it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 153/195 [01:25<00:28,  1.48it/s]
                                                 
[2024-06-06 23:20:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 153/195 [01:25<00:28,  1.48it/s]
                                                 
[2024-06-06 23:20:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 153/195 [01:25<00:28,  1.48it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 155/195 [01:25<00:18,  2.11it/s]
                                                 
[2024-06-06 23:20:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.24.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 155/195 [01:25<00:18,  2.11it/s]
 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 156/195 [01:25<00:16,  2.43it/s]
                                                 
[2024-06-06 23:20:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.input_layernorm.weight", shape: (4096,), dtype: float16

 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 156/195 [01:25<00:16,  2.43it/s]
                                                 
[2024-06-06 23:20:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 156/195 [01:25<00:16,  2.43it/s]
 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 158/195 [01:26<00:13,  2.72it/s]
                                                 
[2024-06-06 23:20:50] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 158/195 [01:26<00:13,  2.72it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/195 [01:28<00:24,  1.44it/s]
                                                 
[2024-06-06 23:20:51] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/195 [01:28<00:24,  1.44it/s]
                                                 
[2024-06-06 23:20:51] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/195 [01:28<00:24,  1.44it/s]
 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/195 [01:28<00:16,  2.05it/s]
                                                 
[2024-06-06 23:20:52] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.25.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/195 [01:28<00:16,  2.05it/s]
 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 162/195 [01:28<00:13,  2.37it/s]
                                                 
[2024-06-06 23:20:52] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.input_layernorm.weight", shape: (4096,), dtype: float16

 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 162/195 [01:28<00:13,  2.37it/s]
                                                 
[2024-06-06 23:20:52] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 162/195 [01:28<00:13,  2.37it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/195 [01:29<00:11,  2.70it/s]
                                                 
[2024-06-06 23:20:53] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/195 [01:29<00:11,  2.70it/s]
 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/195 [01:31<00:21,  1.42it/s]
                                                 
[2024-06-06 23:20:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/195 [01:31<00:21,  1.42it/s]
                                                 
[2024-06-06 23:20:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/195 [01:31<00:21,  1.42it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/195 [01:31<00:13,  2.02it/s]
                                                 
[2024-06-06 23:20:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.26.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/195 [01:31<00:13,  2.02it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/195 [01:31<00:11,  2.33it/s]
                                                 
[2024-06-06 23:20:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.input_layernorm.weight", shape: (4096,), dtype: float16

 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/195 [01:31<00:11,  2.33it/s]
                                                 
[2024-06-06 23:20:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/195 [01:31<00:11,  2.33it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 170/195 [01:32<00:09,  2.63it/s]
                                                 
[2024-06-06 23:20:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 170/195 [01:32<00:09,  2.63it/s]
 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 171/195 [01:34<00:17,  1.37it/s]
                                                 
[2024-06-06 23:20:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 171/195 [01:34<00:17,  1.37it/s]
                                                 
[2024-06-06 23:20:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 171/195 [01:34<00:17,  1.37it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 173/195 [01:34<00:11,  1.96it/s]
                                                 
[2024-06-06 23:20:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.27.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 173/195 [01:34<00:11,  1.96it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/195 [01:34<00:09,  2.27it/s]
                                                 
[2024-06-06 23:20:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.input_layernorm.weight", shape: (4096,), dtype: float16

 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/195 [01:34<00:09,  2.27it/s]
                                                 
[2024-06-06 23:20:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/195 [01:34<00:09,  2.27it/s]
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/195 [01:35<00:07,  2.58it/s]
                                                 
[2024-06-06 23:20:59] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/195 [01:35<00:07,  2.58it/s]
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 177/195 [01:37<00:12,  1.44it/s]
                                                 
[2024-06-06 23:21:00] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 177/195 [01:37<00:12,  1.44it/s]
                                                 
[2024-06-06 23:21:00] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 177/195 [01:37<00:12,  1.44it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 179/195 [01:37<00:07,  2.06it/s]
                                                 
[2024-06-06 23:21:01] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.28.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 179/195 [01:37<00:07,  2.06it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 180/195 [01:37<00:06,  2.36it/s]
                                                 
[2024-06-06 23:21:01] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.input_layernorm.weight", shape: (4096,), dtype: float16

 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 180/195 [01:37<00:06,  2.36it/s]
                                                 
[2024-06-06 23:21:01] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 180/195 [01:37<00:06,  2.36it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 182/195 [01:38<00:04,  2.68it/s]
                                                 
[2024-06-06 23:21:02] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 182/195 [01:38<00:04,  2.68it/s]
 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 183/195 [01:40<00:08,  1.37it/s]
                                                 
[2024-06-06 23:21:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 183/195 [01:40<00:08,  1.37it/s]
                                                 
[2024-06-06 23:21:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 183/195 [01:40<00:08,  1.37it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 185/195 [01:40<00:05,  1.96it/s]
                                                 
[2024-06-06 23:21:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.29.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 185/195 [01:40<00:05,  1.96it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 186/195 [01:40<00:03,  2.28it/s]
                                                 
[2024-06-06 23:21:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.30.input_layernorm.weight", shape: (4096,), dtype: float16

 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 186/195 [01:40<00:03,  2.28it/s]
                                                 
[2024-06-06 23:21:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.30.mlp.down_proj.weight", shape: (4096, 14336), dtype: float16

 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 186/195 [01:40<00:03,  2.28it/s]
 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 188/195 [01:41<00:02,  2.57it/s]
                                                 
[2024-06-06 23:21:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.30.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 188/195 [01:42<00:02,  2.57it/s]
 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 189/195 [01:43<00:04,  1.38it/s]
                                                 
[2024-06-06 23:21:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.30.post_attention_layernorm.weight", shape: (4096,), dtype: float16

 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 189/195 [01:43<00:04,  1.38it/s]
                                                 
[2024-06-06 23:21:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.30.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 189/195 [01:43<00:04,  1.38it/s]
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[2024-06-06 23:21:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.30.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

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[2024-06-06 23:21:08] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.31.mlp.gate_up_proj.weight", shape: (28672, 4096), dtype: float16

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[2024-06-06 23:21:09] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.31.self_attn.qkv_proj.weight", shape: (6144, 4096), dtype: float16

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[2024-06-06 23:21:09] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.31.self_attn.o_proj.weight", shape: (4096, 4096), dtype: float16

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[2024-06-06 23:21:09] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00002-of-00004.safetensors
[2024-06-06 23:21:10] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00003-of-00004.safetensors
[2024-06-06 23:21:10] INFO stats.py:77: Time usage: HF loading: 1.354 sec; Pre-quantization mapping: 21.990 sec; Quantization: 0.000 sec
[2024-06-06 23:21:10] INFO stats.py:91: RAM usage: Peak RAM: 9.235 GB. Total bytes loaded from disk: 14.958 GB
[2024-06-06 23:21:10] INFO convert_weight.py:155: Parameter size after quantization: 14.958 GB
[2024-06-06 23:21:10] INFO convert_weight.py:160: Total parameters: 8,030,523,392
[2024-06-06 23:21:10] INFO convert_weight.py:161: Bits per parameter: 16.000
[2024-06-06 23:21:10] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q0f16-MLC

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